Senior Big Data Engineer

Job Description:

Position Summary

• 5 - 7 years. Provides end to end data analysis on business strategy and function. Includes trending analysis, views on data treatments and success analytics for determining future strategy focused on improving operational performance. This includes data mining, data aggregation, and business planning, inventory analysis, program analysis, E2E platform and performance/milestone analytics. Sets policy and standards for Data Management (DM), Operates routine governance to set enterprise priorities for standards compliance. Tracks compliance to implement standards for the prioritized functions. Monitor and test controls and data quality measures for validity. Escalates risk associated with non-compliance to standards with clear options for resolution. Is a source of expertise and is well versed in current industry best practice.

Required Skills

• Bachelor's degree in a technical or business-related field, or equivalent experience.
• 2-3 years of experience in data warehousing architectural approaches and minimum 1 year in big data (Cloudera)
• Able to document the data analysis and data mining
• Exposure to and strong working knowledge of distributed systems
• Excellent understanding of client-service models and customer orientation in service delivery
• Ability to grasp the 'big picture' for a solution by considering all potential options in impacted area
• Aptitude to understand and adapt to newer technologies
• Assist in the evaluation of new solutions for integration into the Hadoop Roadmap/Strategy
• Motivate internal and external resources to deliver on project commitments
• The ability to work with team mates in a collaborative manner to achieve a mission
• Presentation skills to prepare and present to large and small groups on technical and functional topics
• Previous experience in the financial services industry

Desired Skills

• Broad BofA technical experience and good understanding of existing testing/operational processes and an open mind on how to enhance those
• Understanding of industry trends and relevant application technologies
• Experience in designing and implementing analytical environments and business intelligence solutions

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